marnymk Goto Github PK

aconvnet-pytorch

PyTorch implementation of Target Classification Using the Deep Convolutional Networks for SAR Images

ae-com-roadmap

Collections of Papers and Codes about Communication Systems Built by Autoencoder

autoencoder-based-communication-system

Tensorflow Implementation and result of Auto-encoder Based Communication System From Research Paper : "An Introduction to Deep Learning for the Physical Layer" http://ieeexplore.ieee.org/document/8054694/

awesome-federated-learning

FedML - The Research and Production Integrated Federated Learning Library: https://fedml.ai

awesome-few-shot-gnn

An index of algorithms for few-shot learning/meta-learning on graphs

chinese-landscape-painting-dataset

Dataset used for WACV 2021 paper: "End-to-End Chinese Landscape Painting Creation Using Generative Adversarial Networks"

code-roadmap

编程学习路线

cs-notes

:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计

dbp

Simulation code for decentralized baseband processing (DBP) in massive MIMO systems

dfl-pens

Decentralized federated learning of deep neural networks on non-iid data

dubbo

Apache Dubbo is a high-performance, java based, open source RPC framework.

energy-efficient-data-detection-for-uplink-multiuser-massive-mimo-systems

energy_autoencoder

Deep energy autoencoder for noncoherent communications

fate

An Industrial Grade Federated Learning Framework

fedbn

[ICLR'21] FedBN: Federated Learning on Non-IID Features via Local Batch Normalization

fedcspc

Cross-Silo Prototypical Calibration for Federated Learning with Non-IID Data

feddistill

Code of communication overhead research of FedDistill on distributed drone

federated-learning

A PyTorch Implementation of Federated Learning http://doi.org/10.5281/zenodo.4321561

federatedscope

An easy-to-use federated learning platform

fedfed

[NeurIPS 2023] "FedFed: Feature Distillation against Data Heterogeneity in Federated Learning"

fedgen

Code and data accompanying the FedGen paper

fedrcil

fedshare

PyTorch implementation of Federated Learning with Non-IID Data, and federated learning algorithms, including FedAvg, FedProx.

fedx

few-shot-meta-baseline

Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning, in ICCV 2021

flis

FLIS: Clustered Federated Learning via Inference Similarity for Non-IID Data Distribution

flower

Flower: A Friendly Federated Learning Framework

fsl-mate

FSL-Mate: A collection of resources for few-shot learning (FSL).

gnnpapers

Must-read papers on graph neural networks (GNN)

hfedkd

Model-heterogeneous federated learning using knowledge distillation, evaluated on VGG-{11, 13, 16, 19} and CharCNN.